Dissertation abstracts and project descriptions 2026

Abstract

The integration of AI into pharmaceutical sciences and pharmacy practice presents challenges and opportunities which result in a situation that makes stakeholders feeling enthusiastic, yet somewhat unease. It is the quest of the professionals in these particular scientifically-based professions, that draws deep responsibilities. Applications of regulatory sciences and more significantly human- centric decisions must reflect on the contemporary need and future trajectories in integrating AI into pharmaceutical sciences and practice. Whilst overcoming a number of hesitancies in the use of AI, students and academics may be equally apprehensive of the risk of over-reliance on algorithms. The fear that professional judgement may one day no longer be indispensable leads to hesitancy and a 鈥渓et us wait鈥� attitude. Dangers envisioned include lack of application of 鈥渓iving鈥� experience to the different kinds of illnesses ranging from mental to physical. The lack of a 鈥渓iving鈥� experience may lead one to perceive that one is dealing with a structure rather than with humanity. [excerpt from the Foreword by Prof. A. Serracino-Inglott]